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1111www.huawei.com Huawei confidential, 2007-06
Huawei GENEX SeriesHuawei GENEX Series
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GENEX Overview
GENEX U-Net Features
How to Use U-Net to Plan a Network
Contents
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RNCRNC
GENEX UGENEX U--NetNetRadio Network Planning ToolRadio Network Planning Tool
Downlink Downlink + + UplinkUplink
GENEX ProbeGENEX ProbeGENEX Test MobileGENEX Test MobileGENEX AssistantGENEX AssistantTest & PostTest & Post--Process ToolsProcess Tools
GENEX NastarGENEX NastarNetwork Performance Analysis SystemNetwork Performance Analysis System
ØGENEX U-Net is a radio planning tool that fully supports the technologies of GSM,GPRS-EDGE, CDMA IS95, WCDMA/UMTS/HSDPA, CDMA 2000/1xRTT/1xEVDO, and TD-SCDMA wireless networks.
ØThe GENEX Probe, network optimization and drive test data collection system, is an air interface test tool for WCDMA/HSDPA/GSM/GPRS networks. ØGENEX Assistant is a professional wireless test data post-processing software system.
ØGENEX Nastar is a platform for monitoring and optimizing the performance of GSM/CDMA/WCDMA wireless networks
Huawei GENEX Family
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Whole Flow Overview
Radio Network Planning ToolRadio Network Planning Tool
Air Interface Test Tool and PostAir Interface Test Tool and Post--Processing ToolProcessing Tool
Network Performance Analysis Network Performance Analysis ToolTool
Make full use of 2G resources
GENEX covers the network lifecycleGENEX covers the GENEX covers the network lifecyclenetwork lifecycle
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GENEX Overview
GENEX U-Net Features
How to Use U-Net to Plan a Network
Contents
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U-Net Overview
l A professional radio network design tool, supporting
GSM/TDMA, GPRS-EDGE, CDMAOne, W-CDMA/UMTS and
CDMA 2000/1x RTT/EVDO. It is specially designed for 3G.
l Support both single system configuration and Enterprise
server-based network configuration. The single system
configuration does not require connecting external database
and users still can share engineering data.
l With modern software structure as well as open and
extendable platform.
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Pre-planning module
Network dimensioning
U-Net Basic Module-required(including GSM network planning and prediction)
Measurements
module
Test Mobile data
CW test data
Propagation
model tuning
AFP Module
Automatic Frequency Planning
DT Module
2G DT data for coverage prediction
2G DT data for
propagation model tuning
MicroWave Module
Microwave management
& analysis
3G module
Prediction and
simulation for WCDMA & CDMA2000 /1xRTT /EV-
DO
Modules
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Ø U-Net Work Station l PC Pentium3 processor or better
l more than 256 MB memory. 512 MB memory is suggested
l Windows NT 4.0 /Windows 2000 Professional /Windows XP/Windows 2003
Ø U-Net stand-alone version needs no external database
Ø Multi-user structure supports the following database management
system (Single user does not apply)l Microsoft Access 97/2000
l Microsoft SQL Server 7.0
l Oracle v 8.1.7 or higher
l Sybase Adaptive Server V 11.5
System Requirement
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Vector
Raster
DEM
l Database for World Coordinate System
(about 980 kinds)
l Support various map formats:
-- Raster data:BIL, TIF, BMP, MapInfo, ArcView,
ERDAS Imagine, MSI Planet...
-- Vector data
l Support various resolutions:
--1 meter precision at most
l Support various map types
--Digital Elevation Model (DEM)
--Clutter type data ( Type and Elevation)
--Three-dimensional architectural data (raster and vector data)
--Traffic data and Population-density data
--Satellite and navigation map
--Vector data
Powerful Geography Information System
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Ø Advanced database structureq Flexible database structure, support
multi-user through standard RDBMS (MS Access, MS SQL Server V7, Oracle V8, Sybase)
q Security managementq Database consistencyq Database connection/disconnectionq Stand-alone/distributed/client-server
Multi-user Management
Server1 Server2 Server3
user 1 user 2 user 3 user 4 user 5 user 6 user 7
Workstation 2Workstation 3 Workstation 1Workstation 4
Server1Server2
Workstation 2Workstation 3 Workstation 1Workstation 4
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l Modern Propagation Calculation Engine:--Define propagation module on different levels:
sectors, sites, zones or layers.
--Support geo databases with various resolutions
--Path loss matrix with dual-resolution per transmitter
--Distributed calculation
l Integrated Propagation Modules:--SPM Standard Propagation Module
--Okumura-Hata and Cost-Hata
--ITU 526-5 and ITU 370-7 Propagation Module
--Longley-Rice and WLL Propagation Module
l Interfaces Open to Exterior Modules--Integrate exterior propagation modules via API
--Integrate the existing third party propagation modules
completely,
for example: Wavesight, Volcano, Winpro.
Propagation Model
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l Import CW Measurement Data :--Import and display CW data
--Prediction /measurement comparison and statistics analysis
--Automatically correction of propagation modules
according to CW measurement.
l Import Measurement Data for Mobile Testing--Import, display and analyze testing mobile data.
--Replay on the map according to routes defined by users.
--Analyze and display paging events.
--Support generic ASCII and industry-specific standard
formats.
--Automatically correction of propagation modules
using mobile-testing drive test data.
Measurement Module
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Ø For each user
n Service
n Circuit / packet
n Active factor
n Nominal rate
n Traffic power
n Equipment
n Ec/Io threshold
n Mobility
Ø Traffic map
n Based on environment
n Based on live traffic data
n Based on traffic density
WCDMA Traffic model moduling
Traffic Model
User Density
Terminals MobilityServices
User Profile
Traffic Model
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l Monte Carlo simulation
l Outputs
n reports
n statistics
n More than 100 kinds predictions
l For advanced analysis
n Parameters for each user in every
snapshot (UL load, DL load, rejection
reason, etc.)
Simulation
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Point Analysis
q Live Computation (without considering path loss matrix).
q Path Profile
Diffraction Diffraction LossLoss
Diffraction peak (different Diffraction peak (different propagation modules have propagation modules have
different peaks). different peaks).
the angle of the LOS read in the antenna
vertical pattern
LOSLOS
Estimated Estimated shadow shadow marginsmargins
Distance Distance between between
TxTx--Rx Rx Modules Modules
used used
Signal Level at Signal Level at the receiverthe receiver’’s s
endendStudied transmitters Studied transmitters
and repeatersand repeaters
10GHz 10GHz ellipseellipse
DTMDTM
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Point Analysis
l Radio reception diagnosis for a given point
Choose an existing Choose an existing simulation and check its simulation and check its load conditions on UL load conditions on UL
and DL. and DL.
Definition of userDefinition of user--definable definable ““probeprobe””
receiverreceiver
Analysis of specific Analysis of specific carrier or all carriers carrier or all carriers
(Carriers are (Carriers are considered as sets considered as sets in site equipment).in site equipment).
Availability of Availability of traffic on UL traffic on UL
and DLand DLCells in mobile Cells in mobile active set active set (grey area)(grey area)
Cells outside Cells outside active set active set
(white area(white area))
Threshold for best server Threshold for best server that becomes part of active that becomes part of active set. (It varies with different set. (It varies with different
mobility types)mobility types)
Active set Active set threshold (best pilot threshold (best pilot quality quality -- active set active set
threshold)threshold)
Availability of Availability of PilotPilot
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GENEX Overview
GENEX U-Net Features
How to Use U-Net to Plan a Network
Contents
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Simulation Step by Step
Link budgetAnalysis
Setup networkDesign
Run PilotField
StrengthPrediction
PilotLevelOK?
TrafficForecast
Avail?
Run UMTSTraffic
simulation
Setup fixedLoad values
Make predictions(Services)
PerformanceRequirements
Fulfilled?
Neighbors planning&Scrambling code
allocation
RNP Input & Equipmentconfiguration
Neighborhood planning criteria
Scrambling code allocation criteria
Outputparameters
YESNO
YES
NO
YES
NO
Traffic model
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Network Modeling
Ø Geo data - digital map
Ø Propagation Model
Ø Network database
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Digital Map
The 3D digital map used for planning includes the following 3 parts, and each part is kept in a folder.
HeightsDigital Terrain Model (DTM): stored in a binary format where each element of the data represents the height above sea level in meters for a square area. Directly participate in radio propagation model calculation.
ClutterDigital Land Use (DLU): stored in a binary format with each element of the data containing a code corresponding to a category of land usage for a square area, such as forest, lake, open area, industrial area, urban area, high-storey building area. It is used during calculating radio propagation path loss.
VectorLinear vector Model (LDM): linear vector data describes plane distribution and space relationship of linear clutters, including speedway, street and river.For Planet format map, Linear (2D) vector data is stored in ASCII DOS format and requires following types of input file - an index file, a menu file, and one or several vector data files.
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Digital Map
For high resolution digital map, there are another two kinds of maps which describe the building height.
Clutter HeightDigital Height Model (DHM): format is exactly the same as the DTM format except that the height values stored represent clutter height above ground level, that is, flat earth. Where clutter is open, values should be 0m.
3D Vector3D vector data describe the shapes of clutters but also their heights in great detail. 3D vector data is expected to contain at least building contours and heights but contours and heights are also recommended for other clutters (e.g. vegetation, water…).For Planet format map, 3D vector data is stored in ASCII DOS format and requires following types of input file – an index file, a menu file, and one or several couples of vector data files + vector 3D attributes files.
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l Projection (Primary) Coordinate System:
It is a coordinate system of geographical database which
depends on the imported geographic file. (Usually, projection
system can be found in Projection file in DTM map directory).
l Display Coordinate System:
it is a coordinate system for display and data-input. All the
geographical coordinates are displayed and input according to
this system. If the projection coordinate system and the display
coordinate system do not match with each other, U-Net will
adjust them.
U-Net works with the following two coordinate systems at the same time:
Selecting Coordinate System
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Propagation Model
1 < d < 20 km> GSM 900
> GSM 1800> UMTS
> CDMA/CDMA2000(Automatic calibration
available)
- With diffraction weight- K1, ..., K6 (single formula)
- LOS or NLOS differentiation- Loss per clutter with clutter
weighting- Receiver clearance
- Terrain profile- Statistical clutter
- Effective antenna height150 - 2.000 MHzStandard Propagation
Model
1 < d < 20 km> GSM 1800
> UMTS
- With diffraction or not- Urban loss + correction
a(Hr)
- Terrain profile- Statistical clutter (at the
receiver)- 1 formula per clutter
- Reflection
1.500 - 2.000 MHzCost-Hata
1 < d < 20 km> GSM 900
> CDMA/ CDMA2000
- With diffraction or not- Urban loss + correction
a(Hr)
- Terrain profile- Statistical clutter (at the
receiver)- 1 formula per clutter
- Reflection
150 - 1.000 MHzOkumura-Hata
Fixed receivers> Microwave links
- Free space loss- Receiver height and clearance per clutter
- Terrain profile- Deterministic clutter
- Diffraction (3 knife-edge Deygout method)
30 - 10.000 MHzWLL
Fixed receivers- Terrain profile
- Diffraction (3 knife-edge Deygout method)
30 - 10.000 MHzITU 526-5 (theoretical)
- Long distances (d>10km)- Low frequencies
Percentage time while real field > calculated field- Terrain profile100 MHz – 400
MHzITU 370-7 Vienna 93
- Flat areas- Very low frequenciesCalibrationTerrain profile
Reflection300MHz-3000MHzLongley-Rice (theoretical)
Recommended useRequired settingsTake into accountFrequency bandModel
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Standard Propagation Model (SPM)
L=K1 + K2log(d) + K3log(HTxeff) + K4×Diffraction loss + K5log(d)×log(HTxeff) + K6(HRxeff) + Kclutter×f(clutter)
K1: Constant offset (dB)K2: Multiplying factor for log(d)d: Distance between the receiver and the transmitter (m)K3: Multiplying factor for log(HTxeff)HTxeff: Effective height of the transmitter antenna (m)K4: Multiplying factor for diffraction calculation. K4 has to be a positive numberDiffraction loss: Losses due to diffraction over an obstructed path (dB)K5: Multiplying factor for log(HTxeff)log(d)K6: Multiplying factor for HRxeffHRxeff: Mobile antenna height (m)Kclutter: Multiplying factor for f(clutter).f(clutter): Average of weighted losses due to clutter
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Network Database
SitesA site is a geographical point where one or several transmitters (multi-sector site or station) equipped with antennas with particular characteristics are located.
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Network Database
CE (Channel Element) ConsumptionThe number of channel element required by a site depends on siteequipment, bearer type and link direction (UL or DL)
Example of CE Consumption (Huawei NodeB)
23PS64
810PS384
45PS144
45PS128
23CS64
11AMR 12.2
Nb CEs used (DL)Nb CEs used (UL) Bearer Name
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Network Database
Horizontal Pattern Vertical Pattern
Other Properties: Manufacturer, Gain (dBi), Beamwidth, Frequency
Antenna information
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Network Database
TransmittersA transmitter is the source or generator of any signal on a transmission medium. A transmitter is a piece of equipment composed of some antennas located on a site.
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Transmitter Parameters
Average frequency (FDD) Average frequency (FDD) used by propagation modelused by propagation model
Carrier numberCarrier number
Spread bandwidthSpread bandwidth
Io calculation modeIo calculation mode•• Total noiseTotal noise•• Without pilotWithout pilot
Nt calculation modeNt calculation mode•• Total noiseTotal noise•• Without useful signalWithout useful signal
Default remaining orthogonality Default remaining orthogonality factor at the receiverfactor at the receiver
Maximal Ratio Combining in Maximal Ratio Combining in softer/soft softer/soft handoverhandover
Gain applied to the max Eb/NtGain applied to the max Eb/Nt on several links in SHOon several links in SHO
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Transmitter Parameters
Downlink power value types Downlink power value types defined in defined in cell propertiescell properties
IoIo& & Nt calculation modeNt calculation mode•• Total noiseTotal noise•• Without pilotWithout pilot
Options related to the Options related to the compressed modecompressed mode
Default remaining orthogonality Default remaining orthogonality factor at the receiverfactor at the receiver
Options used for the soft handoff Options used for the soft handoff modeling on uplinkmodeling on uplink
Options related to Options related to HSDPAHSDPA
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CellsEach carrier on a transmitter defines a WCDMA cell; cell table gives the carrier characteristics on a transmitter.
Network Database
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Transmitter Equipment Parameters
U-Net provides two ways to calculate transmission/reception losses:• Use losses of TMA and feeder to calculate• Directly set in Transmitters table
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Link budgetAnalysis
Setup networkDesign
Run PilotField
StrengthPrediction
PilotLevelOK?
TrafficForecast
Avail?
Run UMTSTraffic
simulation
Setup fixedLoad values
Make predictions(Services)
PerformanceRequirements
Fulfilled?
Neighbors planning&Scrambling code
allocation
RNP Input & Equipmentconfiguration
Neighborhood planning criteria
Scrambling code allocation criteria
Outputparameters
YESNO
YES
NO
YES
NO
Traffic model
Simulation Step by Step
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Predictions
1. Predictions withoutsimulation(Independent of Traffic)
2. Predictions with simulations (Dependent on traffic)
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Predictions without Simulation
Coverage by transmitter:Display the best server coverage
Coverage by signal level: Display the signal level across the studied area
Overlapping zones:Display the signal level across the studied area
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Coverage Prediction Parameters
Setting the following parameters:
• Signal level threshold value: defaulted as -
120dBm
• All Servers or Best Server: usually select Best
server so as to be convenient to observe the
coverage of the best cell.
• Signal level margin of the best cell: defaulted
as 0.
• Cell Edge Coverage Probability: if shadow
fading needs not taken into account, set 50%;
by default, shadow fading with 75%
probability has taken into account.
• Indoor Coverage: if checked, indoor loss set
for each clutter has taken into account.
• Carrier: select a specific carrier
or all carriers, when “All” be
selected, U-Net calculates the
best carrier for each
transmitter.
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Computation Zone
Usually, Computation Zone needs to be drawn before predictions.
Combine:
Delete:
Specially,• The computation zone may consist of several polygons. Draw a first polygon or select the existing zone on the map, then select the Combine tool of the Vector Edition bar and draw another polygon.• The computation zone may be holed. Draw a polygon or select the existing zone on the map, then select the Delete tool of the Vector Edition bar and delete the part you want to remove from the polygon.
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Link budgetAnalysis
Setup networkDesign
Run PilotField
StrengthPrediction
PilotLevelOK?
TrafficForecast
Avail?
Run UMTSTraffic
simulation
Setup fixedLoad values
Make predictions(Services)
PerformanceRequirements
Fulfilled?
Neighbors planning&Scrambling code
allocation
RNP Input & Equipmentconfiguration
Neighborhood planning criteria
Scrambling code allocation criteria
Outputparameters
YESNO
YES
NO
YES
NO
Traffic model
Simulation Step by Step
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Traffic Modeling
Parameters setup order:
ØServices
ØMobility type
ØTerminals
ØUser profiles
ØEnvironments
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Services
Service nameService name
Application Throughput Application Throughput (only used (only used with HSDPA)with HSDPA)
Circuit : DL and UL activity factors Circuit : DL and UL activity factors Packet : DL and UL packet efficiency Packet : DL and UL packet efficiency factorsfactors
Service priority (0 : lowest)Service priority (0 : lowest)
Soft Handoff optionSoft Handoff option
Type of serviceType of service
Body loss used in link budgetBody loss used in link budget
CarrierCarrier of serviceof service
HSDPA optionHSDPA option
DL and UL DL and UL average requested average requested rate rate
The R99 radio bearer required by the The R99 radio bearer required by the serviceservice
The R99 radio bearer The R99 radio bearer propertiesproperties
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Services
DDL and UL Eb/Nt targets per mobilityL and UL Eb/Nt targets per mobility
The R99 radio bearer The R99 radio bearer properties could be imported after Mobility Typesproperties could be imported after Mobility Types
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l Name: eg. Static, TU3, TU50, etc.
l Ec/Io threshold: the minimum Ec/Io required from a transmitter to enter
the active set. In the U-Net, this value is verified for the best server.
l Values refer to WCDMA/UMTS specifications or commercial network
configuration
Mobility Types
Pilot quality threshold Pilot quality threshold (depending on speed) to (depending on speed) to define the define the minimum Ec/Io required
Mobility type nameMobility type name
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Terminals
Minimum and Minimum and maximum allowed maximum allowed power (UL) during power (UL) during power control power control simulationsimulation Gain and loss in terminalGain and loss in terminal
Noise figure used in Noise figure used in the DL load factor the DL load factor determinationdetermination
Active set size: Active set size: number of transmitters number of transmitters which can be connected which can be connected to a mobileto a mobile
DL rake factor used DL rake factor used for the signal for the signal recombination at recombination at the terminalthe terminal
Terminal nameTerminal name
The Rho factor (%) enables the The Rho factor (%) enables the UU--Net to take into account theNet to take into account theselfself--interference produced from interference produced from the terminalthe terminal
CCompressed mode optionompressed mode option
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• Name: eg. Urban users, Suburban users; or based on user behaviors, such as Upper users, Lower users
etc.
User Profiles
User profile nameUser profile name
service service and and terminalterminal typetype
Usage frequency with different definitionUsage frequency with different definition
•• Circuit : average number of calls per hour, average duration ofCircuit : average number of calls per hour, average duration of a call in secondsa call in seconds
•• Packet : DL and UL packet efficiency factors (unsuccessful dataPacket : DL and UL packet efficiency factors (unsuccessful data retransmission)retransmission)
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Environments
List of user profiles with List of user profiles with associated mobility and associated mobility and densitydensity
Environment Environment type nametype name
Possible clutter weighting Possible clutter weighting in order to get an in order to get an accurate user distributionaccurate user distribution
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Create Traffic Map
ØØ Map based on EnvironmentsMap based on Environments
• Each pixel of the map is assigned an environment class
• Traffic map is created based on combination of user
profile, user density and mobility
Purpose of traffic mapTransfer traffic modeling onto the digital map for UMTS simulations. Traffic
map makes traffic model become meaningful geographically.
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ØØ Map based on Transmitters and ServicesMap based on Transmitters and Services
• Based on Best Server Coverage Prediction
• Define throughput or user numbers per service for each transmitter
• Live traffic spread over the service area of each transmitter
Create Traffic Map
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Link budgetAnalysis
Setup networkDesign
Run PilotField
StrengthPrediction
PilotLevelOK?
TrafficForecast
Avail?
Run UMTSTraffic
simulation
Setup fixedLoad values
Make predictions(Services)
PerformanceRequirements
Fulfilled?
Neighbors planning&Scrambling code
allocation
RNP Input & Equipmentconfiguration
Neighborhood planning criteria
Scrambling code allocation criteria
Outputparameters
YESNO
YES
NO
YES
NO
Traffic model
Simulation Step by Step
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Simulation Basis
Simulation is oriented to simulate the
running situation of networks under
the current network configuration so
as to facilitate decision-making
adjustment.
U-Net use Monte Carlo simulation to
generate user distributions (snapshots)
randomly. By iteration, U-Net get the
uplink/downlink cell loading, the
connection status and rejected reason
for each mobile. From a number of
snapshots,
U-Net is able to generate prediction
plots by using a non interfering mobile
(called “probe mobile” or “test mobile”)
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Static Simulation
l Generate a certain quantity of network instantaneous state -
“Snapshot”.
q Here, some MSs or terminals are distributed based on a certain rule
(such as random even distribution) at each “Snapshot”.
l Acquire connection capability between terminals and networks by
incremental operation.
q Here, it is required to consider the possibility of multiple
connection failure (uplink/downlink traffic channel maximum
transmit power, unavailable channels, low Ec/Io and
uplink/downlink interference).
l Measure and analyze results of multiple “Snapshots” to have a overall
understanding of network performance.
Monte Carlo simulation is one type of static simulation.
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Monte Carlo Simulation
• The overlay measurement results of multiple Snapshots
should be consistent with traffic model.
500mErl
300mErl
1200mErl
1000mErl
50%
30%
120%
100%
X
X
X
X
XX
X
X
XX
X
X
XX
X
X
X
X
XX
X
X
X
XXX
X
X1
1
1
4
44
43
3
3
2
2 5
5
5
X
X
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100%100% 100%100%20%20% 60%60%
0%0% 75%75% 40%40%60%60%
100%100% 100%100%20%20% 60%60%
0%0% 75%75% 40%40%60%60%
Monte Carlo Simulation
l The following takes coverage probability for an example to
further understand how Monte Carlo simulation is performed.
1st
snapshot2nd
snapshotmore snapshotSimulation result
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Simulation Parameters
Simulation NameSimulation Name
Number of simulations to Number of simulations to run for the current sessionrun for the current session
Simulation results contain:Simulation results contain:•• Only the Average Simulation and Only the Average Simulation and
StatisticsStatistics•• No Information About MobilesNo Information About Mobiles•• Standard Information About MobilesStandard Information About Mobiles•• Detailed Information About MobilesDetailed Information About Mobiles
Constraints to respect during simulation:Constraints to respect during simulation:•• maximum number of channel elementsmaximum number of channel elements•• maximum uplink cell load factor maximum uplink cell load factor •• maximum downlink cell loadmaximum downlink cell load•• OVSF codes availability OVSF codes availability
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Simulation Parameters (cont.) & Results
TrafficTraffic•• Cartography selectionCartography selection•• Optional multiplicative factorOptional multiplicative factor
Convergence criteriaConvergence criteria•• Maximum number of iterationsMaximum number of iterations•• UL and DL convergence UL and DL convergence thresholdsthresholds
Simulation Parameters Simulation Results
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Rejection Reason
When constraints
above are
respected, the
network may be
saturated
The signal quality
is not sufficient
Main Reason
There are no more OVSF codes availableCode saturation
There are not enough power for cellsDL load saturation
There are not enough channel elements on siteChannel element
saturation
UL load saturation
The maximum uplink load factor is exceeded
(at admission or congestion)
Admission rejection
On the uplink, there is not enough power to transmitPmob > Pmob max
On the downlink, there is not enough reception on
traffic channelPtch > Ptch max
On the downlink, the pilot quality is not enough
(no cell in the user active set)Ec/Io pilot < Ec/Io min pilot
Sub ReasonStatus
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Simulation Statistics
Request: Total users accessed into the network, uplink/downlink total volume required by the network, and details classification of each type of service.
Results:Refused users and relevant causes, users successfully accessed, actual volume of the network, and details classification of each type of service.
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Link budgetAnalysis
Setup networkDesign
Run PilotField
StrengthPrediction
PilotLevelOK?
TrafficForecast
Avail?
Run UMTSTraffic
simulation
Setup fixedLoad values
Make predictions(Services)
PerformanceRequirements
Fulfilled?
Neighbors planning&Scrambling code
allocation
RNP Input & Equipmentconfiguration
Neighborhood planning criteria
Scrambling code allocation criteria
Outputparameters
YESNO
YES
NO
YES
NO
Traffic model
Simulation Step by Step
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Predictions Based on Traffic
Pilot quality (Ec/Io):Displays the pilot quality across the studied area.
Pilot pollution:Displays pilot pollution statistics across the studied area.
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Predictions Based on Traffic
Service area (Eb/Nt) uplink:Displays areas where the traffic channel quality of probe mobile at transmitter (Eb/Nt) is sufficient for the transmitter to get a service. Uplink service area is limited by maximum terminal power.
Service area (Eb/Nt) downlink:Displays areas where there is one or more transmitter of which traffic channel quality at the receiver (Eb/Nt or combined Eb/Nt) is sufficient for the probe mobile to obtain a service.
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Predictions Based on Traffic
Handoff Status:Display areas depending on the probe mobile handoff status.
Downlink Total Noise: Display areas where the DL total noise or the DL noise rise exceeds some user-defined levels.
Effective service area:Displays the intersection zone between uplink and downlink service areas. It is the area where a service is really available for the probe mobile.
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Simulation Step by Step
Link budgetAnalysis
Setup networkDesign
Run PilotField
StrengthPrediction
PilotLevelOK?
TrafficForecast
Avail?
Run UMTSTraffic
simulation
Setup fixedLoad values
Make predictions(Services)
PerformanceRequirements
Fulfilled?
Neighbors planning&Scrambling code
allocation
RNP Input & Equipmentconfiguration
Neighborhood planning criteria
Scrambling code allocation criteria
Outputparameters
YESNO
YES
NO
YES
NO
Traffic model
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Neighbours Automatic Allocation
•Intra-frequency
•Inter-frequency
•Inter-RAT
Display neighbors on map
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•Force co-site cells as neighbors: force co-site cells to be taken into account.
•Force adjacent cells as neighbors: force adjacent cells to be neighbours.
•Force symmetry: force neighbor symmetry.
•Force exceptional pairs: force the constraints defined for exceptional pairs.
•Reset neighbors: start the automatic allocation from scratch.
• Coverage conditions: eg. Signal Level, Ec/Io, coverage probability etc.• % min covered area: minimum percentage between the overlapping zone and the studied cell coverage area.
Neighbours Automatic Allocation
•Max Number of Neighbors:usually 32.
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PSC Automatic Allocation
Step1. Define Scrambling Code Format (Decimal or Hexadecimal)Step2. Create Domain-Group pairs
define the lowest and highest available PSC, separation interval, excluded and extra codes
Step3. Assign Domain to cellStep4. Automatic Allocation
Each cell and its neighbors not have Each cell and its neighbors not have the same codethe same code
Each cell and the neighbors of its Each cell and the neighbors of its neighbors not have the same code. neighbors not have the same code. In addition, all the neighbors (first In addition, all the neighbors (first and second) cannot have the same and second) cannot have the same code.code.
•• ClusteredClusteredChoose codes among a minimum Choose codes among a minimum number of clusters. Allocate all the number of clusters. Allocate all the codes of a same cluster.codes of a same cluster.
•• DistributedDistributedUse as many clusters as possible. Use as many clusters as possible. Allocate codes from different clusters.Allocate codes from different clusters.
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Scrambling Code Audit
• The algorithm will be quite helpful after manual
correction.
• Checking Allocation Criteria
q Neighbouring Relationship
q Exceptional Pair
q Reuse Distance
q Domain
• Checking Results in Reports
q Scrambling Code Check.txt
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